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C10-2174.pdf
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🔗 Source: preview.aclanthology.org
📊 Size: 812 KB
👤 Author: Dong Zhou ; Seamus Lawless ; Jinming Min ; Vincent Wade
⬇️ Downloads: 68

Summary

The field of information retrieval strives to develop models integrating semantic information to improve performance. A conceptual model comprising linguistic terms, latent concepts, and explicit knowledge concepts has been adopted, but it has significant computational costs. To address this, a dual-space model is proposed, incorporating external knowledge to enhance the semantic space produced by the latent concept method. This model aims to produce global consistency across the semantic space, where similar entries have the same re-ranking scores with respect to latent and manifest concepts. Experiments demonstrate that the dual-space model outperforms initial language model-based ranker, single-space model exploiting latent and explicit features, and the explicit model, achieving improvements in retrieval performance.

Description

The field of information retrieval strives to develop models integrating semantic information to improve performance.

Technical Information

  • File Format: PDF
  • File Size: 812 KB
  • Pages: 9
  • Language: EN
  • Author: Dong Zhou ; Seamus Lawless ; Jinming Min ; Vincent Wade
  • Total Downloads: 68
  • Last Updated: 4 hours ago

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